python之python中的图像尺寸错误

试图匹配两个图像以找出它们之间的分数。但它显示了一些尺寸错误。无法解决问题。我的代码如下:

from skimage.measure import compare_ssim 
#import argparse 
#import imutils 
import cv2 
 
img1="1.png" 
img2="2.png" 
 
 
# load the two input images 
imageA = cv2.imread(img1) 
imageB = cv2.imread(img2) 
 
# convert the images to grayscale 
grayA = cv2.cvtColor(imageA, cv2.COLOR_BGR2GRAY) 
grayB = cv2.cvtColor(imageB, cv2.COLOR_BGR2GRAY) 
 
 
# compute the Structural Similarity Index (SSIM) between the two 
# images, ensuring that the difference image is returned 
(score, diff) = compare_ssim(grayA, grayB, full=True) 
diff = (diff * 255).astype("uint8") 
print("SSIM: {}".format(score)) 

这给 n 一个错误:

raise ValueError('Input images must have the same dimensions.') 
 
ValueError: Input images must have the same dimensions. 

如何解决这个问题？

请您参考如下方法:

修改Saurav Panda的回答:

您可以像这样将其中一张图片调整为另一张图片的大小:

imageB=cv2.resize(imageB,imageA.shape) 

注意

(H, W) = imageA.shape 
# to resize and set the new width and height  
imageB = cv2.resize(imageB, (W, H)) 

cv2.resize 函数输入期望 (W,H)。这是 cv2.shape (H,W) 输出的逆序，所以你需要捕获它，否则在比较非正方形图像时你会得到同样的错误。